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KNN Learning Techniques for Proportional Myocontrol in Prosthetics

Sziburis, Tim and Nowak, Markus and Brunelli, Davide (2021) KNN Learning Techniques for Proportional Myocontrol in Prosthetics. In: ICNR 2020: Converging Clinical and Engineering Research on Neurorehabilitation IV. International Conference on NeuroRehabilitation, virtuell. doi: 10.1007/978-3-030-70316-5_109. ISSN 2195-3562.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-030-70316-5_109

Abstract

This work has been conducted in the context of pattern-recognition-based control for electromyographic prostheses. It presents a k-nearest neighbour (kNN) classification technique for gesture recognition, extended by a proportionality scheme. The methods proposed are practically implemented and validated. Datasets are captured by means of a state-of-the-art 8-channel electromyography (EMG) armband positioned on the forearm. Based on this data, the influence of kNNs parameters is analyzed in pilot experiments. Moreover, the effect of proportionality scaling and rest thresholding schemes is investigated. A randomized, double-blind user study is conducted to compare the implemented method with the state-of-research algorithm Ridge Regression with Random Fourier Features (RR-RFF) for different levels of gesture exertion. The results from these experiments show a statistically significant improvement in favour of the kNN-based algorithm.

Item URL in elib:https://elib.dlr.de/147141/
Document Type:Conference or Workshop Item (Speech)
Title:KNN Learning Techniques for Proportional Myocontrol in Prosthetics
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sziburis, TimUNSPECIFIEDhttps://orcid.org/0000-0002-7741-1276UNSPECIFIED
Nowak, MarkusUNSPECIFIEDhttps://orcid.org/0000-0002-0840-5155UNSPECIFIED
Brunelli, DavideUniversity of Trento, ItalyUNSPECIFIEDUNSPECIFIED
Date:2021
Journal or Publication Title:ICNR 2020: Converging Clinical and Engineering Research on Neurorehabilitation IV
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1007/978-3-030-70316-5_109
ISSN:2195-3562
Status:Published
Keywords:kNN, myocontrol, prosthetics
Event Title:International Conference on NeuroRehabilitation
Event Location:virtuell
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Intelligent Mobility (RM) [RO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Nowak, Markus
Deposited On:09 Dec 2021 17:17
Last Modified:27 Feb 2024 14:09

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